Results 61 to 70 of about 814,331 (167)

Comparison of deterministic and stochastic approaches to crosshole seismic travel-time inversions

Earth and Planetary Physics, 2019
The Bayesian inversion method is a stochastic approach based on the Bayesian theory. With the development of sampling algorithms and computer technologies, the Bayesian inversion method has been widely used in geophysical inversion problems.
YanZhe Zhao, YanBin Wang
doaj   +1 more source

Bayesian estimation of the measurement of interactions in epidemiological studies [PDF]

PeerJ
Background Interaction identification is important in epidemiological studies and can be detected by including a product term in the model. However, as Rothman noted, a product term in exponential models may be regarded as multiplicative rather than ...
Shaowei Lin, Chanchan Hu, Zhifeng Lin, Zhijian Hu   +3 more
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BAYES ESTIMATION OF EXPONENTIALLY DISTRIBUTED SURVIVAL DATA UNDER SYMMETRIC AND ASYMMETRIC LOSS FUNCTIONS

Barekeng
In a research study, population data are often not available, so the population parameter is unknown. Meanwhile, knowledge about the population parameter is needed to know the characteristics of the studied population. Therefore, it is needed to estimate
Muthia Nadhira Faladiba, Atina Ahdika
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Linking Acrosome Size and Genetic Divergence in an Inter-Oceanic Mussel from the Pacific and Atlantic Coasts: A Case of Incipient Speciation?

Animals
In recent years, advances in analyses of the sperm morphology and genetics of Perumytilus purpuratus have allowed to two evolutionary scenarios for this mussel to be suggested: (1) the scenario of cryptic species and (2) the scenario of incipient or in ...
Carolina Briones, José J. Nuñez, Montse Pérez, Orlando Garrido, Bernardita Campos, Karina Godoy, Ricardo Hartley, Pablo A. Oyarzún, Ricardo Guiñez   +8 more
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Hybrid Optimization Algorithm for Bayesian Network Structure Learning

Information, 2019
Since the beginning of the 21st century, research on artificial intelligence has made great progress. Bayesian networks have gradually become one of the hotspots and important achievements in artificial intelligence research.
Xingping Sun, Chang Chen, Lu Wang, Hongwei Kang, Yong Shen, Qingyi Chen   +5 more
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Efficient optimization identification method for soil stratification based on cone penetration test and joint posterior distribution of variable dimensionality

Yantu gongcheng xuebao
The mechanical stratification of soils based on the cone penetration test data (such as soil classification index Ic) is widely applied. However, the soil stratification based on Ic depends on engineering experience, and the subjective uncertainty is ...
CAO Zijun 1 , HU Chao 2, WANG Yafei 3, MIAO Cong 4, , LIU Tao 5, HONG Yi 6, ZHENG Shuo 7
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Bayesian Update with Information Quality under the Framework of Evidence Theory

Entropy, 2018
Bayesian update is widely used in data fusion. However, the information quality is not taken into consideration in classical Bayesian update method. In this paper, a new Bayesian update with information quality under the framework of evidence theory is ...
Yuting Li, Fuyuan Xiao
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Corrigendum: A Bayesian Approach to the Analysis of Local Average Treatment Effect for Missing and Non-normal Data in Causal Modeling: A Tutorial With the ALMOND Package in R

Frontiers in Psychology, 2020
Dingjing Shi, Dingjing Shi, Xin Tong, M. Joseph Meyer   +3 more
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Average Method of Mixed Sampling Distribution Bayesian Model

MATEC Web of Conferences, 2018
Based on the study of Bayesian model average (BMA), this paper proposes to mix the prior distribution and sampling distribution to obtain the average method of the mixed sampling distribution Bayesian model overcoming the problem that traditional ...
Zhang Ying
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Estimating Tree Height-Diameter Models with the Bayesian Method

The Scientific World Journal, 2014
Six candidate height-diameter models were used to analyze the height-diameter relationships. The common methods for estimating the height-diameter models have taken the classical (frequentist) approach based on the frequency interpretation of probability,
Xiongqing Zhang, Aiguo Duan, Jianguo Zhang, Congwei Xiang   +3 more
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